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Validation of the five-factor model of personality across instruments and observers.

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TLDR
Two data sources--self-reports and peer ratings--and two instruments--adjective factors and questionnaire scales--were used to assess the five-factor model of personality, showing substantial cross-observer agreement on all five adjective factors.
Abstract
Two data sources--self-reports and peer ratings--and two instruments--adjective factors and questionnaire scales--were used to assess the five-factor model of personality. As in a previous study of self-reports (McCrae & Costa, 1985b), adjective factors of neuroticism, extraversion, openness to experience, agreeableness-antagonism, and conscientiousness-undirectedness were identified in an analysis of 738 peer ratings of 275 adult subjects. Intraclass correlations among raters, ranging from .30 to .65, and correlations between mean peer ratings and self-reports, from .25 to .62, showed substantial cross-observer agreement on all five adjective factors. Similar results were seen in analyses of scales from the NEO Personality Inventory. Items from the adjective factors were used as guides in a discussion of the nature of the five factors. These data reinforce recent appeals for the adoption of the five-factor model in personality research and assessment.

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The big five personality dimensions and job performance: a meta-analysis

TL;DR: In this article, the authors investigated the relation of the Big Five personality dimensions (extraversion, emotional stability, Agreeableness, Conscientiousness, and Openness to Experience) to three job performance criteria (job proficiency, training proficiency, and personnel data) for five occupational groups (professionals, police, managers, sales, and skilled/semi-skilled).

The Big Five Trait taxonomy: History, measurement, and theoretical perspectives.

TL;DR: The Big Five taxonomy as discussed by the authors is a taxonomy of personality dimensions derived from analyses of the natural language terms people use to describe themselves 3 and others, and it has been used for personality assessment.
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An introduction to the five-factor model and its applications.

TL;DR: It is argued that the five-factor model of personality should prove useful both for individual assessment and for the elucidation of a number of topics of interest to personality psychologists.
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An alternative "description of personality": the big-five factor structure.

TL;DR: The generality of this 5-factor model is here demonstrated across unusually comprehensive sets of trait terms, which suggest their potential utility as Big-Five markers in future studies.
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Transformational leader behaviors and their effects on followers' trust in leader, satisfaction, and organizational citizenship behaviors

TL;DR: In this paper, the authors examined the impact of transformational leader behaviors on organizational citizenship behaviors, and the potential mediating role played by subordinates' trust and satisfaction in that process.
References
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Journal ArticleDOI

Behavioral Development and Construct Validity: The Principle of Aggregation

TL;DR: In this article, the authors explore the possibility that many important variables in behavioral development are often due to failures to aggregate, and illustrate the usefulness of this principle in 12 major areas of developmental research in which the issue of negligible correlations figures prominently.
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Updating Norman's "Adequate Taxonomy". Intelligence and Personality Dimensions in Natural Language and in Questionnaires

TL;DR: The relations among culture, conscientiousness, openness, and intelligence are discussed, and it is concluded that mental ability is a separate factor, though related to openness to experience.
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The Achievement Motive

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Factors In The Natural Language Of Personality: Re-Analysis, Comparison, And Interpretation Of Six Major Studies.

TL;DR: Re-analysis of the correlations of six studies indicated that the domain appears to be well described by five factors, with some suggestion of a sixth, and the five factors were related across studies, using the Kaiser-Hunka-Bianchini method.
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